NICOLA PESERICO

Nicola Peserico is a Research Professor in the Department of Electrical & Computer Engineering at the University of Florida, affiliated with the College of Engineering. His primary research focus is on Integrated Optical Circuits and Silicon Photonics, with an emphasis on heterogeneous integration, hardware for Machine Learning/Neural Networks, and biosensing applications using integrated photonics.

Education: Ph.D. (2018), M.S. (2014), and B.S. (2011) in Telecommunication Engineering from Politecnico di Milano.

His research explores cutting-edge photonic technologies for accelerating neural networks, including Fourier-based convolution operations, reconfigurable circuits for solving PDEs, and energy-efficient optical interconnects. Recent work highlights advancements in photonic-electronic ICs, thermal management in photonic systems, and overcoming bottlenecks in memory and compute architectures.

His publications emphasize photonic tensor cores, joint transform correlators, and silicon photonics integration for AI acceleration. Notable contributions include roadmap analyses for neuromorphic photonics and innovative packaging strategies for photonic neural network accelerators.

No scientific awards or grants are explicitly listed in the provided texts. His advising record is not documented here.

Labs/Teams: His work is part of broader efforts in photonic computing and AI hardware acceleration at the University of Florida, leveraging silicon photonics for next-generation computing systems.